Configuring pybuilder for developing command-line application using conda
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Updated
Sep 3, 2018 - Python
Configuring pybuilder for developing command-line application using conda
conda environment creation and update from meta.yaml
Project 3 OpenClassroom AI Engineer. This project consists in analyzing and preprocessing data on OpenFoodFact project and presenting data on web page with interactions
Singularity containerization of a Conda-based multi-environment bash script.
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Configuration files for setting up environments using conda package manager or containers like docker and singularity.
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Examples of using Python libraries
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Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
A series of scripts to easily manage tensorflow GPU conda environments
This is a demo repo for CI and CD for conda environments using GitHub actions.
In deep learning, with the help of data and training, neural networks are created and trained, which create better predictions than before with the help of neural networks.
This repository is a step-by-step guide for using NVIDIA GPU's on Windows (WSL2) and Linux (Ubuntu) and MacOs GPU's with TensorFlow.
These are the handwritten notes on, how to set up an IDE, an introduction to Conda environment, how to use Git and GitHub for version control, and mathematics for data science.
My first repository on GitHub
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